ArticleTrials2016
Intra-cluster and inter-period correlation coefficients for cross-sectional cluster randomised controlled trials for type-2 diabetes in UK primary care.
Article in Trials, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT06561126 (Engagement of coMmunity Through Participatory Learning and Action for cOntrol and preVEntion of Type II Diabetes and Its Risk Factors [EMPOWER-D]), which is not on this map. Cited by 40 papers, 1 of them a synthesis that pooled it.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Engagement of coMmunity Through Participatory Learning and Action for cOntrol and preVEntion of Type II Diabetes and Its Risk Factors [EMPOWER-D]: Cluster Randomized Controlled Trial
Who cites it
40 citing papers in PubMed, 1 synthesis or guideline pooled it, 60 citations in OpenAlex.
- Estimating the Intracluster Correlation Coefficient for the Clinical Sign "Trachomatous Inflammation-Follicular" in Population-Based Trachoma Prevalence Surveys: Results From a Meta-Regression Analysis of 261 Standardized Preintervention Surveys Carried Out in Ethiopia, Mozambique, and Nigeria.American journal of epidemiology · 2020Pooled it
- mHealth to support resistance training using outdoor gyms: the ecofit hybrid type 3 implementation-effectiveness trial.Translational behavioral medicine · 2026Trial
- Impact of a Multidisciplinary Supportive Care Model Using Distress Screening at an Asian Ambulatory Cancer Center: A Cluster Randomized Controlled Trial.JCO oncology practice · 2024Trial
- Does it decay? Obtaining decaying correlation parameter values from previously analysed cluster randomised trials.Statistical methods in medical research · 2023Trial
- Placental growth factor in assessment of women with suspected pre-eclampsia to reduce maternal morbidity: a stepped wedge cluster randomised control trial (PARROT Ireland).BMJ (Clinical research ed.) · 2021Trial
- Evaluation of injury prevention interventions using the stepped wedge cluster randomised trial design: key considerations.Injury prevention : journal of the International Society for Child and Adolescent Injury Prevention · 2026Article
- Sample size requirements and intra-cluster correlations for stepped wedge cluster randomised trials in intensive care medicine: A practical guide.Critical care and resuscitation : journal of the Australasian Academy of Critical Care Medicine · 2026Article
- Article
- Article
- Effects of a smartphone-based chatbot intervention on influenza and COVID-19 vaccine uptake among South Asians.NPJ digital medicine · 2025Article
- A hand-washing community-based educational intervention to reduce abscess incidence among people who inject drugs: a cluster randomised controlled clinical trial protocol (the HAWA study protocol).BMC public health · 2024Article
- School-level intra-cluster correlation coefficients and autocorrelations for children's accelerometer-measured physical activity in England by age and gender.BMC medical research methodology · 2024Article
- A simple and effective method for simulating nested exchangeable correlated binary data for longitudinal cluster randomised trials.BMC medical research methodology · 2024Article
- Estimating intra-cluster correlation coefficients for planning longitudinal cluster randomized trials: a tutorial.International journal of epidemiology · 2023Article
- Article
- Article
- Power analyses for stepped wedge designs with multivariate continuous outcomes.Statistics in medicine · 2023Article
- Sample size calculators for planning stepped-wedge cluster randomized trials: a review and comparison.International journal of epidemiology · 2022Review
- power swgee: GEE-based power calculations in stepped wedge cluster randomized trials.The Stata journal · 2022Article
- Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors at 1 institution in 1 country.
Funding
Abstract
backgroundClustered randomised controlled trials (CRCTs) are increasingly common in primary care. Outcomes within the same cluster tend to be correlated with one another. In sample size calculations, estimates of the intra-cluster correlation coefficient (ICC) are needed to allow for this nonindependence. In studies with observations over more than one time period, estimates of the inter-period correlation (IPC) and the within-period correlation (WPC) are also needed.
methodsThis is a retrospective cross-sectional study of all patients aged 18 or over with a diagnosis of type-2 diabetes, from The Health Improvement Network (THIN) database, between 1 October 2007 and 31 March 2010. We report estimates of the ICC, IPC, and WPC for typical outcomes using unadjusted and adjusted generalised linear mixed models with cluster and cluster by period random effects. For binary outcomes we report on the proportions scale, which is the appropriate scale for trial design. Estimated ICCs were compared to those reported from a systematic search of CRCTs undertaken in primary care in the UK in type-2 diabetes.
resultsData from 430 general practices, with a median [IQR] number of diabetics per practice of 241 [150-351], were analysed. The ICC for HbA1c was 0.032 (95 % CI 0.026-0.038). For a two-period (each of 12 months) design, the WPC for HbA1c was 0.035 (95 % CI 0.030-0.040) and the IPC was 0.019 (95 % CI 0.014-0.026). The difference between the WPC and the IPC indicates a decay of correlation over time. Following dichotomisation at 7.5 %, the ICC for HbA1c was 0.026 (95 % CI 0.022-0.030). ICCs for other clinical measurements and clinical outcomes are presented. A systematic search of ICCs used in the design of CRCTs involving type-2 diabetes with HbA1c (undichotomised) as the outcome found that published trials tended to use more conservative ICC values (median 0.047, IQR 0.047-0.050) than those reported here.
conclusionsThese estimates of ICCs, IPCs, and WPCs for a variety of outcomes commonly used in diabetes trials can be useful for the design of CRCTs. In studies with observations taken at different time-points, the correlation of observations may decay over time, as reflected in lower values for the IPC than for the ICC. The IPC and WPC estimates are the first reported for UK primary care data.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.